Lars Petersson

According to our database, Lars Petersson authored at least 138 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Curved Geometric Networks for Visual Anomaly Recognition.

Jie Hong, Pengfei Fang, Weihao Li, Junlin Han, Lars Petersson, Mehrtash Harandi

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Publisher Correction: GOSS: towards generalized open-set semantic segmentation.

Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson

Vis. Comput., May, 2024

GOSS: towards generalized open-set semantic segmentation.

Jie Hong, Weihao Li, Junlin Han, Jiyang Zheng, Pengfei Fang, Mehrtash Harandi, Lars Petersson

Vis. Comput., April, 2024

Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation.

Feng Xu, David Ahmedt-Aristizabal, Lars Petersson, Dadong Wang, Xun Li

CoRR, 2024

NeFF-BioNet: Crop Biomass Prediction from Point Cloud to Drone Imagery.

Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland

CoRR, 2024

MMCBE: Multi-modality Dataset for Crop Biomass Estimation and Beyond.

Xuesong Li, Zeeshan Hayder, Ali Zia, Connor Cassidy, Shiming Liu, Warwick Stiller, Eric A. Stone, Warren Conaty, Lars Petersson, Vivien Rolland

CoRR, 2024

RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey.

Nikhel Gupta, Ray P. Norris, Zeeshan Hayder, Minh Huynh, Lars Petersson, X. Rosalind Wang, Andrew M. Hopkins, Heinz Andernach, Yjan Gordon, Simone Riggi, Miranda Yew, Evan J. Crawford, Bärbel S. Koribalski, Miroslav D. Filipovic, Anna D. Kapinska, Stanislav Shabala, Tessa Vernstrom, Joshua R. Marvil

CoRR, 2024

Topological deep learning: a review of an emerging paradigm.

Ali Zia, Abdelwahed Khamis, James Nichols, Usman Bashir Tayab, Zeeshan Hayder, Vivien Rolland, Eric A. Stone, Lars Petersson

Artif. Intell. Rev., 2024

An In-Field Dynamic Vision-Based Analysis for Vineyard Yield Estimation.

David Ahmedt-Aristizabal, Daniel Smith, Muhammad Rizwan Khokher, Xun Li, Adam L. Smith, Lars Petersson, Vivien Rolland, Everard J. Edwards

IEEE Access, 2024

Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach.

Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Continual Test-time Domain Adaptation via Dynamic Sample Selection.

Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis.

Léo Lebrat, Rodrigo Santa Cruz, Remi Chierchia, Yulia Arzhaeva, Mohammad Ali Armin, Joshua Goldsmith, Jeremy Oorloff, Prithvi Reddy, Chuong Nguyen, Lars Petersson, Michelle Barakat-Johnson, Georgina Luscombe, Clinton Fookes, Olivier Salvado, David Ahmedt-Aristizabal

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning.

Ali Cheraghian, Zeeshan Hayder, Sameera Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson, Mehrtash Harandi

Proceedings of the Computer Vision - ECCV 2024, 2024

Backpropagation-free Network for 3D Test-time Adaptation.

Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation.

Sam Cantrill, David Ahmedt-Aristizabal, Lars Petersson, Hanna Suominen, Mohammad Ali Armin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging.

David Ahmedt-Aristizabal, Chuong Nguyen, Lachlan Tychsen-Smith, Ashley Stacey, Shenghong Li, Joseph Pathikulangara, Lars Petersson, Dadong Wang

Comput. Methods Programs Biomed., April, 2023

Poincaré Kernels for Hyperbolic Representations.

Pengfei Fang, Mehrtash Harandi, Zhenzhong Lan, Lars Petersson

Int. J. Comput. Vis., 2023

Continuous Human Action Recognition for Human-machine Interaction: A Review.

Harshala Gammulle, David Ahmedt-Aristizabal, Simon Denman, Lachlan Tychsen-Smith, Lars Petersson, Clinton Fookes

ACM Comput. Surv., 2023

Deep Learning Approaches for Seizure Video Analysis: A Review.

David Ahmedt-Aristizabal, Mohammad Ali Armin, Zeeshan Hayder, Norberto Garcia-Cairasco, Lars Petersson, Clinton Fookes, Simon Denman, Aileen McGonigal

CoRR, 2023

A Multimodal Dataset and Benchmark for Radio Galaxy and Infrared Host Detection.

Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson

CoRR, 2023

RadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared Hosts.

Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson

CoRR, 2023

Deep Learning for Morphological Identification of Extended Radio Galaxies using Weak Labels.

Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson, X. Rosalind Wang, Heinz Andernach, Bärbel S. Koribalski, Miranda Yew, Evan J. Crawford

CoRR, 2023

Automatic Illumination Spectrum Recovery.

Nariman Habili, Jeremy Oorloff, Lars Petersson

CoRR, 2023

CVB: A Video Dataset of Cattle Visual Behaviors.

Ali Zia, Renuka Sharma, Reza Arablouei, Greg Bishop-Hurley, Jody McNally, Neil Bagnall, Vivien Rolland, Brano Kusy, Lars Petersson, Aaron Ingham

CoRR, 2023

Earth Movers in The Big Data Era: A Review of Optimal Transport in Machine Learning.

Abdelwahed Khamis, Russell Tsuchida, Mohamed Tarek, Vivien Rolland, Lars Petersson

CoRR, 2023

Topological Deep Learning: A Review of an Emerging Paradigm.

Ali Zia, Abdelwahed Khamis, James Nichols, Zeeshan Hayder, Vivien Rolland, Lars Petersson

CoRR, 2023

Weakly-supervised Point Cloud Instance Segmentation with Geometric Priors.

Heming Du, Xin Yu, Farookh Khadeer Hussain, Mohammad Ali Armin, Lars Petersson, Weihao Li

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation.

Jieming Zhou, Tong Zhang, Zeeshan Hayder, Lars Petersson, Mehrtash Harandi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hyperbolic Audio-visual Zero-shot Learning.

Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Feature Correlation Aggregation: on the Path to Better Graph Neural Networks.

Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Towards End-to-End Automatic Insect Handling and Insect Scanning.

Sundaram Muthu, Taj Wedutenko, Jinguang Tong, Chuong Nguyen, Lars Petersson

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

REIN: Reusing ImageNet to Improve Open-set Object Detection.

Weihao Li, Moshiur Farazi, Jie Hong, Lars Petersson

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

IQScan: Automatic Insect Loading and 3D Scanning.

Olivia Dry, Sundaram Muthu, Jinguang Tong, Chuong Nguyen, Lars Petersson

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

Underwater Image Restoration via Contrastive Learning and a Real-World Dataset.

Junlin Han, Mehrdad Shoeiby, Timothy J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson

Remote. Sens., 2022

Attention in Attention Networks for Person Retrieval.

Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Pan Ji, Lars Petersson, Mehrtash Harandi

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Zero-Shot Learning on 3D Point Cloud Objects and Beyond.

Ali Cheraghian, Shafin Rahman, Townim F. Chowdhury, Dylan Campbell, Lars Petersson

Int. J. Comput. Vis., 2022

PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis.

Jie Hong, Shi Qiu, Weihao Li, Saeed Anwar, Mehrtash Harandi, Nick Barnes, Lars Petersson

CoRR, 2022

What Images are More Memorable to Machines?

Junlin Han, Huangying Zhan, Jie Hong, Pengfei Fang, Hongdong Li, Lars Petersson, Ian D. Reid

CoRR, 2022

Learning Deep Optimal Embeddings with Sinkhorn Divergences.

Soumava Kumar Roy, Yan Han, Mehrtash Harandi, Lars Petersson

CoRR, 2022

CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping.

Junlin Han, Lars Petersson, Hongdong Li, Ian D. Reid

CoRR, 2022

Learning Dense Correspondence from Synthetic Environments.

Mithun Lal, Anthony Paproki, Nariman Habili, Lars Petersson, Olivier Salvado, Clinton Fookes

CoRR, 2022

A survey on graph-based deep learning for computational histopathology.

David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson

Comput. Medical Imaging Graph., 2022

Towards a Robust Differentiable Architecture Search under Label Noise.

Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Biomass Prediction with 3D Point Clouds from LiDAR.

Liyuan Pan, Liu Liu, Anthony G. Condon, Gonzalo M. Estavillo, Robert A. Coe, Geoff Bull, Eric A. Stone, Lars Petersson, Vivien Rolland

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains.

Ting Cao, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning.

Changkun Ye, Nick Barnes, Lars Petersson, Russell Tsuchida

Proceedings of the 26th International Conference on Pattern Recognition, 2022

You Only Cut Once: Boosting Data Augmentation with a Single Cut.

Junlin Han, Pengfei Fang, Weihao Li, Jie Hong, Mohammad Ali Armin, Ian D. Reid, Lars Petersson, Hongdong Li

Proceedings of the International Conference on Machine Learning, 2022

Declarative nets that are equilibrium models.

Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin, Lars Petersson, Cheng Soon Ong

Proceedings of the Tenth International Conference on Learning Representations, 2022

Blind Image Decomposition.

Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li

Proceedings of the Computer Vision - ECCV 2022, 2022

A Hyperspectral and RGB Dataset for Building Façade Segmentation.

Nariman Habili, Ernest Kwan, Weihao Li, Christfried Webers, Jeremy Oorloff, Mohammad Ali Armin, Lars Petersson

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Towards Open-Set Object Detection and Discovery.

Jiyang Zheng, Weihao Li, Jie Hong, Lars Petersson, Nick Barnes

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Pyramidal Attention for Saliency Detection.

Tanveer Hussain, Abbas Anwar, Saeed Anwar, Lars Petersson, Sung Wook Baik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Transcribing Natural Languages for the Deaf via Neural Editing Programs.

Dongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future.

David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson

Sensors, 2021

Multi-FAN: multi-spectral mosaic super-resolution via multi-scale feature aggregation network.

Mehrdad Shoeiby, Sadegh Aliakbarian, Saeed Anwar, Lars Petersson

Mach. Vis. Appl., 2021

Discrepant collaborative training by Sinkhorn divergences.

Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi

Image Vis. Comput., 2021

Set Augmented Triplet Loss for Video Person Re-Identification.

Pengfei Fang, Pan Ji, Lars Petersson, Mehrtash Harandi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Single Underwater Image Restoration by Contrastive Learning.

Junlin Han, Mehrdad Shoeiby, Tim J. Malthus, Elizabeth J. Botha, Janet M. Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Kernel Methods in Hyperbolic Spaces.

Pengfei Fang, Mehrtash Harandi, Lars Petersson

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces.

Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe, Pengfei Fang, Christian Simon, Lars Petersson, Mehrtash Harandi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Contextually Plausible and Diverse 3D Human Motion Prediction.

Sadegh Aliakbarian, Fatemeh Sadat Saleh, Lars Petersson, Stephen Gould, Mathieu Salzmann

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Towards Interpretable Attention Networks for Cervical Cancer Analysis.

Ruiqi Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Video-Based Inpatient Fall Risk Assessment: A Case Study.

Ziqing Wang, Mohammad Ali Armin, Simon Denman, Lars Petersson, David Ahmedt-Aristizabal

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Reinforced Attention for Few-Shot Learning and Beyond.

Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dual Contrastive Learning for Unsupervised Image-to-Image Translation.

Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning.

Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Globally-Optimal Inlier Set Maximisation for Camera Pose and Correspondence Estimation.

Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Cross-Correlated Attention Networks for Person Re-Identification.

Jieming Zhou, Soumava Kumar Roy, Pengfei Fang, Mehrtash Harandi, Lars Petersson

Image Vis. Comput., 2020

Attention Prior for Real Image Restoration.

Saeed Anwar, Nick Barnes, Lars Petersson

CoRR, 2020

A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers.

Saeed Anwar, Nick Barnes, Lars Petersson

CoRR, 2020

Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network.

Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning from Noisy Labels via Discrepant Collaborative Training.

Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Transductive Zero-Shot Learning for 3D Point Cloud Classification.

Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Neural Memory Networks for Seizure Type Classification.

David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Attention Networks for Multi-Task Signal Analysis.

David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Mosaic Super-resolution via Sequential Feature Pyramid Networks.

Mehrdad Shoeiby, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Saeed Anwar, Lars Petersson

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Transferring Cross-Domain Knowledge for Video Sign Language Recognition.

Dongxu Li, Xin Yu, Chenchen Xu, Lars Petersson, Hongdong Li

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Stochastic Conditioning Scheme for Diverse Human Motion Prediction.

Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Channel Recurrent Attention Networks for Video Pedestrian Retrieval.

Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson, Mehrtash Harandi

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior.

Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould

CoRR, 2019

Neural Memory Networks for Robust Classification of Seizure Type.

David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson, Matthew J. Aburn, Clinton Fookes

CoRR, 2019

Learning Variations in Human Motion via Mix-and-Match Perturbation.

Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould, AmirHossein Habibian

CoRR, 2019

3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds.

Ali Cheraghian, Lars Petersson

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Zero-shot Learning of 3D Point Cloud Objects.

Ali Cheraghian, Shafin Rahman, Lars Petersson

Proceedings of the 16th International Conference on Machine Vision Applications, 2019

CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation.

Kartik Gupta, Lars Petersson, Richard Hartley

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Bilinear Attention Networks for Person Retrieval.

Pengfei Fang, Jieming Zhou, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation.

Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li, Stephen Gould

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects.

Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation.

Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez, Stephen Gould

IEEE Trans. Pattern Anal. Mach. Intell., 2018

VIENA2: A Driving Anticipation Dataset.

Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson

CoRR, 2018

Effective Use of Synthetic Data for Urban Scene Semantic Segmentation.

Fatemeh Sadat Saleh, Mohammad Sadegh Aliakbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez

Proceedings of the Computer Vision - ECCV 2018, 2018

Improving Object Localization With Fitness NMS and Bounded IoU Loss.

Lachlan Tychsen-Smith, Lars Petersson

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

VIENA ^2 : A Driving Anticipation Dataset.

Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Soft Correspondences in Multimodal Scene Parsing.

Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson

CoRR, 2017

Road Asset Detection Model Using Smartphones: A Deployment Analysis.

Dana Pordel, Lars Petersson

Proceedings of the 11th International Conference on Distributed Smart Cameras, 2017

DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling.

Lachlan Tychsen-Smith, Lars Petersson

Proceedings of the IEEE International Conference on Computer Vision, 2017

Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation.

Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, José M. Álvarez

Proceedings of the IEEE International Conference on Computer Vision, 2017

Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence.

Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li

Proceedings of the IEEE International Conference on Computer Vision, 2017

Encouraging LSTMs to Anticipate Actions Very Early.

Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

DecomposeMe: Simplifying ConvNets for End-to-End Learning.

José M. Álvarez, Lars Petersson

CoRR, 2016

Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation.

Mohammad Sadegh Ali Akbarian, Fatemehsadat Saleh, Basura Fernando, Mathieu Salzmann, Lars Petersson, Lars Andersson

CoRR, 2016

2D-3D semantic segmentation using cardinality as higher-order loss.

Shahin Rahmatollahi Namin, José M. Álvarez, Lars Petersson

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Latent structural SVM with marginal probabilities for weakly labeled structured learning.

Shahin Rahmatollahi Namin, José M. Álvarez, Laurent Kneip, Lars Petersson

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation.

Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann, Lars Petersson, Stephen Gould, José M. Álvarez

Proceedings of the Computer Vision - ECCV 2016, 2016

Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering.

Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

GOGMA: Globally-Optimal Gaussian Mixture Alignment.

Dylan Campbell, Lars Petersson

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

A Multi-modal Graphical Model for Scene Analysis.

Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Modeling the cost and coverage of an ad-hoc asset management system based on existing fleet vehicles.

Dana Pordel, Lars Petersson, Shahin Namin, Adrian Rebola-Pardo

Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

A cost-benefit analysis of an ad-hoc road asset data collection system using fleet-vehicles.

Dana Pordel, Lars Petersson

Proceedings of the 9th International Conference on Distributed Smart Camera, 2015

Cutting Edge: Soft Correspondences in Multimodal Scene Parsing.

Sarah Taghavi Namin, Mohammad Najafi, Mathieu Salzmann, Lars Petersson

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

An Adaptive Data Representation for Robust Point-Set Registration and Merging.

Dylan Campbell, Lars Petersson

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Creating robust high-throughput traffic sign detectors using centre-surround HOG statistics.

Gary Overett, Lachlan Tychsen-Smith, Lars Petersson, Niklas Pettersson, Lars Andersson

Mach. Vis. Appl., 2014

Multi-view terrain classification using panoramic imagery and LIDAR.

Sarah Taghavi Namin, Mohammad Najafi, Lars Petersson

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

dMap: A Low-Cost Distributed Mapping Concept for Future Road Asset Management.

Dana Pordel, Lars Petersson, Philip Kilby

Proceedings of the International Conference on Distributed Smart Cameras, 2014

Non-associative Higher-Order Markov Networks for Point Cloud Classification.

Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann, Lars Petersson

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Classification of natural scene multi spectral images using a new enhanced CRF.

Mohammad Najafi, Sarah Taghavi Namin, Lars Petersson

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2012

Classification of materials in natural scenes using multi-spectral images.

Sarah Taghavi Namin, Lars Petersson

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

A computationally efficient low-bandwidth method for very-large-scale mapping of road signs with multiple vehicles.

Ashkan Amirsadri, Adrian N. Bishop, Jonghyuk Kim, Jochen Trumpf, Lars Petersson

Proceedings of the 15th International Conference on Information Fusion, 2012

Practical considerations in precise calibration of a low-cost MEMS IMU for road-mapping applications.

Ashkan Amirsadri, Jonghyuk Kim, Lars Petersson, Jochen Trumpf

Proceedings of the American Control Conference, 2012

2011

Large scale sign detection using HOG feature variants.

Gary Overett, Lars Petersson

Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

2009

Fast features for time constrained object detection.

Gary Overett, Lars Petersson

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2008

Statistical Threat Assessment for General Road Scenes Using Monte Carlo Sampling.

Andreas Eidehall, Lars Petersson

IEEE Trans. Intell. Transp. Syst., 2008

2007

Improved Response Modelling on Weak Classifiers for Boosting.

Gary Overett, Lars Petersson

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

2006

Towards Safer Roads by Integration of Road Scene Monitoring and Vehicle Control.

Lars Petersson, Luke Fletcher, Alexander Zelinsky, Nick Barnes, Fredrik Arnell

Int. J. Robotics Res., 2006

Threat assessment for general road scenes using monte carlo sampling.

Andreas Eidehall, Lars Petersson

Proceedings of the IEEE Intelligent Transportation Systems Conference, 2006

2005

Generic fusion of visual cues applied to real-world object segmentation.

Fredrik Arnell, Lars Petersson

Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

A Sign Reading Driver Assistance System Using Eye Gaze.

Luke Fletcher, Lars Petersson, Nick Barnes, David J. Austin, Alexander Zelinsky

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

2004

An Interactive Driver Assistance System Monitoring the Scene in and out of the Vehicle.

Lars Petersson, Luke Fletcher, Nick Barnes, Alexander Zelinsky

Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

2003

Vision in and out of Vehicles.

Luke Fletcher, Nicholas Apostoloff, Lars Petersson, Alexander Zelinsky

IEEE Intell. Syst., 2003

Driver assistance: an integration of vehicle monitoring and control.

Lars Petersson, Nicholas Apostoloff, Alexander Zelinsky

Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

Towards Safer Roads by Integration of Road Scene Monitoring and Vehicle Control.

Lars Petersson, Alexander Zelinsky

Proceedings of the Field and Service Robotics, Recent Advances in Reserch and Applications, 2003

2002

A framework for integration of processes in autonomous systems.

Lars Petersson

PhD thesis, 2002

Visually guided manipulation tasks.

Danica Kragic, Lars Petersson, Henrik I. Christensen

Robotics Auton. Syst., 2002

Systems Integration for Real-World Manipulation Tasks.

Lars Petersson, Patric Jensfelt, Dennis Tell, M. Strandberg, Danica Kragic, Henrik I. Christensen

Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

2001

DCA: a distributed control architecture for robotics.

Lars Petersson, David J. Austin, Henrik Christenseni

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

2000

High-level control of a mobile manipulator for door opening.

Lars Petersson, David J. Austin, Danica Kragic

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2000

Reactive mobile manipulation using dynamic trajectory tracking: design and implementation.

Petter Ögren, Lars Petersson, Magnus Egerstedt, Xiaoming Hu

Proceedings of the 39th IEEE Conference on Decision and Control, 2000

1999

A hybrid control architecture for mobile manipulation.

Lars Petersson, Magnus Egerstedt, Henrik I. Christensen

Proceedings of the Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients, 1999